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Data Engineer
McCabe & Barton
London
Hybrid
GBP 45,000 - 65,000
Full time
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Job summary
An established industry player is seeking Junior and Middle level Data Engineers to enhance their data capabilities. In this permanent role, you will develop and maintain robust processes for data transformation and cleaning, ensuring high-quality data for analytics. Collaborating with various teams, you will translate business requirements into technical plans while continuously improving data quality. This innovative firm offers a supportive environment where you can learn new tools and techniques, making it an exciting opportunity for those passionate about data engineering. If you're ready to take your career to the next level, this role is perfect for you.
Qualifications
- 2-4 years of experience in data engineering with strong SQL skills.
- Understanding of data transformation processes and data quality improvement.
Responsibilities
- Develop and maintain processes for data transformation and cleaning.
- Liaise with teams to gather requirements for new data products.
Skills
Education
Tools
Job description
Our client is looking for Junior and Middle level Data Engineers to join the teams. 1 day in office every 3 months. Permanent, salary is £45k-£65k depending on experience.
Job Details:
- Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows.
- Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans.
- Maintain process quality and robustness through coding best practice, including version control, documentation and peer review.
- Investigate and elaborate data issues to help drive continuous improvement in data quality.
- Migrate legacy processes to new data platforms.
- Learn new tools and techniques to support data processing and analytics as we expand our toolkit.
Skills we would love you to have:
- Minimum 2:1 in a relevant technical degree.
- A good understanding of database architecture and querying using SQL.
- A sound understanding of data transformation and cleaning.
- Programming experience using any language such as Python.
- Understanding of Microsoft Azure, Power BI, and Snowflake; skills in SQL, Cognos, and a data visualization tool like Tableau, Power BI, or Qlik.
- 2-4 years experience, with good communication skills to work across functional teams.
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